Table of Contents

VLFeat includes fast SVM solvers,
SGC [1] and (S)DCA [2], both
implemented in vl_svmtrain. The function also implements
features, like Homogeneous kernel map expansion and SVM online
statistics. (S)DCA can also be used with different loss functions.

Support vector machine

A simple example on how to use vl_svmtrain is
presented below. Let's first load and plot the training data: